FEDERATED DISTRIBUTED machine learning project. (Tensorflow Federated preferably).

I would like you to help come up with a novel framework on using federated distributed learning to detect anomalies(preferably TFF that is tensorflow federated on Colab). And then we use the model to predict anomalies on some datasets (We can start with The UNSW-NB15 dataset and compare with other cybersecurity datasets)and compare the novel federated model you are going to build and other ones on different datasets like 2 to check the performance metrics like accuracy , computation time ,ROC curve etc. And also write a detailed report on the experiment and results..... and if you can follow this paper a bit to grab the steps